About

Kikuo Fujimura is a pioneering robotics researcher whose work spans autonomous robot systems, motion planning, and human-to-robot motion transfer. He is perhaps best known for his central role in developing Honda's iconic ASIMO humanoid robot, with his 2003 systems overview paper accumulating an extraordinary 1,363 citations — a testament to ASIMO's landmark status in robotics history. That work demonstrated how a humanoid could be successfully integrated into real-world indoor environments, even being deployed commercially as a receptionist. Fujimura also made foundational contributions to motion planning in dynamic environments. His influential 1989 papers on hierarchical path planning among moving obstacles — garnering nearly 380 combined citations — introduced the elegant approach of incorporating time as a spatial dimension, enabling mobile robots to navigate safely around unpredictable obstacles. He later extended this work into time-minimal path computation and convex polygon obstacle domains. In the 2000s, Fujimura turned his attention to human-robot motion transfer, developing online, markerless techniques for retargeting human motion to humanoid robots, advancing intuitive robot programming. His career reflects a rare breadth — from theoretical planning algorithms to fully realized, commercially deployed robotic systems.

Research Focus

Key Achievements

15
H-Index
27
Papers
2,353
Total Citations
87
Avg Citations/Paper
🏆 Most Cited Paper
The intelligent ASIMO: system overview and integration
1,363 citations · 2003
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Honda (United States), University of Maryland, College Park, The Ohio State University, Oak Ridge National Laboratory, Honda (Japan), Osaka Electro-Communication University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago